Essential command-line tools and system utilities.
Design context-sensitive help systems, tooltips, onboarding flows, and support documentation for learning platforms. Use for user assistance. Activates on "help system", "user assistance", "onboarding", or "contextual help".
Use when you have Knowledge Base exports and want to identify user pain points, missing articles, and AI assistance opportunities.
Execute structural and contextual code searches using Mantic.sh to retrieve relevant code snippets and repository information for AI agents.
Comprehensive context management strategies for cost optimization and infinite-length conversations. Covers server-side clearing (tool results, thinking blocks), client-side SDK compaction (automatic summarization), and memory tool integration. Use when managing long conversations, optimizing token costs, preventing context overflow, or enabling continuous agentic workflows.
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
Build visual AI workflows with Amazon Bedrock Flows. Create flows with prompt nodes, knowledge bases, Lambda, inline code, condition branching, iterators, collectors, and DoWhile loops. Version management, aliases, deployment. Use when building multi-step AI workflows, orchestrating models and services, creating condition-based routing, implementing iterative processing, or deploying production AI pipelines.
Scrape external documentation (API references, library docs, protocol specifications) and generate Claude Agent Skills in SKILL.md format. Use when creating skills from documentation, integrating third-party knowledge, or building domain-specific skills. Parses HTML/Markdown, extracts structure, generates proper frontmatter and instructions. Triggers on "scrape documentation", "docs to skill", "generate skill from docs", "API documentation to skill".
Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.
Intelligently orchestrate agents to complete tasks with optimal strategy selection, phase breakdown, and quality verification
Skill for deploying and managing agents on Google Cloud Platform, specifically Vertex AI Reasoning Engine.
Copilot agent that assists with bug investigation, root cause analysis, and fix generation for efficient debugging and issue resolution Trigger terms: bug fix, debug, troubleshoot, root cause analysis, error investigation, fix bug, resolve issue, error analysis, stack trace Use when: User requests involve bug hunter tasks.
Build AI agents with Claude Agent SDK in TypeScript. Covers V1 query() API for batch workflows and V2 session API for interactive apps. Includes tool configuration, hooks, MCP servers, and multi-turn patterns.
Expert Guide for orchestrating Agent behaviors via Rules and Workflows. Capabilities include Autonomous Reasoning, Agile Process Management, and Cross-Skill Orchestration. Use to standardize project context (Rules) or automate complex multi-step tasks (Workflows).
Generate knowledge schemas and ontologies from any input format. Extract semantic structures, relationships, and hierarchies. Output as Obsidian markdown with YAML frontmatter, wikilinks, tags, and mermaid diagrams, or export to semantic formats (JSON-LD, RDF, Neo4j Cypher, GraphQL). Supports fractal mode (strict hierarchical constraints) and free mode (flexible generation). Auto-activates for queries containing "schema", "ontology", "knowledge graph", "extract structure", or "generate outline".
Provides automated fact-checking, quality assessment, and self-validation capabilities for AI outputs. Use this skill when you need to verify factual claims, assess implementation quality, or ensure outputs meet production standards before delivery.
Expert guidance for integrating paid AI model APIs including Claude (Anthropic), OpenAI, Google Gemini, Groq, and others with Python applications
Track, evaluate, and analyze multi-agent AI workflows using Azure AI Foundry cloud evaluations. Use when logging agent trajectories, computing evaluation metrics, measuring plan adherence, or generating workflow analytics.
Synchronizes prompt files (agents, rules, commands) from the skill's prompts directory to both GitHub Copilot and OpenCode global configuration directories. Use when the user wants to update their AI editor prompt libraries.
Guide for integrating Gemini AI models with Firebase using Firebase AI Logic SDK. This skill should be used when implementing Gemini features (chat, content generation, structured JSON output), configuring security (App Check), or troubleshooting issues (rate limits, schema errors).
Multi-agent spec review with parallel Claude/OpenCode reviewers. Use after spec-create or standalone via /spec.review.
Generates well-structured Agent Skill documents following Claude Code best practices. Use when asked to create new Agent Skills, draft SKILL.md files, or design skill architectures.
This skill should be used when the user asks to "run a gcloud command", "use gcloud", "access Google Cloud", "list GCP projects", "check gcloud config", or any task involving the Google Cloud CLI. Also use when Claude needs to suggest patterns for the gcloud allowlist or explain why a gcloud command was blocked. Use this skill immediately when you see "Direct gcloud commands are blocked" or "Use the safe-gcloud wrapper instead" in an error message.
Claude Code Skills management, skill creation patterns, and knowledge capsule architecture. Use when creating custom Skills, managing skill libraries, or designing knowledge systems.
